Papers with models risks encoding
CAPE: Context-Aware Private Embeddings for Private Language Learning (2021.emnlp-main)
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| Challenge: | Existing methods to obtain text representations or embeddings with these models encoding personally identifiable information may lead to privacy leaks. |
| Approach: | They propose a novel approach which combines differential privacy and adversarial learning to preserve privacy during training of embeddings. |
| Outcome: | The proposed approach reduces private information leakage by 3% over the current method. |